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RabbitMQ VS IBM Streaming Analytics

Compare RabbitMQ VS IBM Streaming Analytics and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

RabbitMQ logo RabbitMQ

RabbitMQ is an open source message broker software.

IBM Streaming Analytics logo IBM Streaming Analytics

IBM Streaming Analytics enables you to analyze a broad range of streaming text, video, audio, geospatial and sensor data.
  • RabbitMQ Landing page
    Landing page //
    2023-10-03
  • IBM Streaming Analytics Landing page
    Landing page //
    2023-02-11

RabbitMQ features and specs

  • Reliability
    RabbitMQ ensures message durability by persisting messages to disk. This enhances reliability, especially for critical applications where message loss is unacceptable.
  • Flexibility
    RabbitMQ supports multiple messaging protocols like AMQP, MQTT, and STOMP, allowing diverse applications to communicate seamlessly.
  • Advanced Features
    RabbitMQ offers rich features such as message routing, delivery acknowledgments, and clustering, which can satisfy complex messaging needs.
  • Ease of Use
    RabbitMQ provides extensive documentation and user-friendly management tools, making it accessible for developers and administrators.
  • Scalability
    Its clustering and federated queues capabilities allow RabbitMQ to scale both vertically and horizontally to handle increased loads.
  • Transaction Support
    RabbitMQ provides support for transactions, ensuring that a series of operations can be executed atomically, which is crucial for maintaining data integrity.

Possible disadvantages of RabbitMQ

  • Complex Configuration
    Setting up and configuring RabbitMQ can be complex, especially for users who are unfamiliar with messaging brokers or have limited experience with it.
  • Overhead
    RabbitMQ can introduce overhead in terms of latency and resource consumption, which might be an issue for high-performance applications requiring low latency.
  • Maintenance
    Maintaining RabbitMQ, including tasks such as monitoring, managing clusters, and handling updates, requires ongoing effort and expertise.
  • Learning Curve
    Due to its feature-rich nature and various configurations, there can be a steep learning curve for new users to master RabbitMQ.
  • Performance Issues with High Volume
    In extremely high-volume scenarios, RabbitMQ may experience performance bottlenecks and memory issues, requiring careful tuning and scaling strategies.
  • Security Considerations
    Proper security configuration, including user roles, permissions, and encryption, is essential but can be complex and critical for preventing unauthorized access.

IBM Streaming Analytics features and specs

No features have been listed yet.

RabbitMQ videos

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數據工程 | 快速review | 如何架設Docker Swarm + RabbitMQ？？

More videos:

  • Review - What's New in RabbitMQ—June 2012 Edition
  • Review - Feature complete: Uncovering the true cost different RabbitMQ features and configs - Jack Vanlightly

IBM Streaming Analytics videos

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IBM Streaming Analytics and Python

Category Popularity

0-100% (relative to RabbitMQ and IBM Streaming Analytics)

RabbitMQ

IBM Streaming Analytics

Data Integration
100 100%
Data Integration
0% 0
Data Management
0 0%
Data Management
100% 100
Web Service Automation
100 100%
Web Service Automation
0% 0
Stream Processing
93 93%
Stream Processing
7% 7

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare RabbitMQ and IBM Streaming Analytics

RabbitMQ Reviews

Best message queue for cloud-native apps
RabbitMQ is an open-source message broker software that allows applications to communicate with each other using a messaging protocol. It was developed by Rabbit Technologies and first released in 2007, which was later acquired by VMware.RabbitMQ is based on the Advanced Message Queuing Protocol (AMQP) and provides a reliable, scalable, and interoperable messaging system.
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
However, it's important to note that every tool has its strengths and use cases. For instance, Kafka's strength lies in real-time data streaming, NATS shines with its simplicity, and RabbitMQ provides support for complex routing. In contrast, IronMQ provides an excellent balance of simplicity, durability, scalability, and ease of management, making it a powerful choice for...
Source: blog.iron.io
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
RabbitMQ follows a standard store-and-forward pattern, allowing messages to be stored in RAM, on disk, or both. To ensure the persistence of messages, the producer can tag them as persistent, and they will be stored in a separate queue. This helps achieve message retention even after a restart or failure of the RabbitMQ server.
Source: gcore.com
6 Best Kafka Alternatives: 2022’s Must-know List
Due to RabbitMQ’s lightweight design, it can be easily deployed on public and private clouds. RabbitMQ is backed not only by a robust support system but also offers a great developer community. Since it is open-source software it is one of the best Kafka Alternatives and RabbitMQ is free of cost.
Source: hevodata.com
Top 15 Alternatives to RabbitMQ In 2021
In this article, we will discuss an overview on RabbitMQ Alternatives. RabbitMQ has a flexible messaging system and functions as a multipurpose broker. But it often stops working, because of its high latency and very slow while doing so. The deployment & management of RabbitMQ is a too dull procedure. It can not be installed as modules, it can be installed only on machines...
Source: gokicker.com

IBM Streaming Analytics Reviews

We have no reviews of IBM Streaming Analytics yet.
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Social recommendations and mentions

Based on our record, RabbitMQ seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

RabbitMQ mentions (1)

IBM Streaming Analytics mentions (0)

We have not tracked any mentions of IBM Streaming Analytics yet. Tracking of IBM Streaming Analytics recommendations started around Mar 2021.

What are some alternatives?

When comparing RabbitMQ and IBM Streaming Analytics, you can also consider the following products

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

Azure Stream Analytics - Azure Stream Analytics offers real-time stream processing in the cloud.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.

TIBCO Spotfire - TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.

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